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药物信息学研究工作与成果

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发表于 2022-7-18 20:29:25 | 显示全部楼层 |阅读模式
研究方向
  • 药物靶标预测
  • 药物毒副作用预测


基金项目
  • 面向药物副作用识别的多视角稀疏模型研究,62172076,面上,丁漪杰主持
  • 基于多类特征整合与排序学习的药物-靶标相互作用预测,62101094,青年,茹晓青主持
  • 基于单细胞测序数据的药物反应预测研究,62201129,青年,齐忍主持


研究成员
  • 邹权(电子科技大学,教授)
  • 鱼亮(西安电子科技大学,教授)
  • 苏苒(天津大学,副教授)
  • 丁漪杰(电子科技大学长三角研究院(衢州),副研究员)
  • 张鑫(电子科技大学长三角研究院(衢州),博士后)
  • 齐忍(电子科技大学长三角研究院(衢州),博士后)
  • Stalin Antony(电子科技大学,博士后)
  • 茹晓青(电子科技大学长三角研究院(衢州),实验员、科研助理)


发表论文
  • Shunyun Yang, Runxin Guo,Rui Liu, Xiangke Liao, Quan Zou*,Benyun Shi*, Shaoliang Peng*. cmFSM: A Scalable CPU-MIC CoordinatedDrug-Finding Tool by Frequent Subgraph Mining. BMC Bioinformatics.2018, 19(Suppl4): 98 (codes)
  • Ran Su, Xinyi Liu, LeyiWei, Quan Zou*. Deep-Resp-Forest: Adeep forest model to predict anti-cancer drug response. Methods. 2019, 166: 91-102
  • Xiaoqing Ru, Lida Wang*,Lihong Li, Hui Ding, Xiucai Ye, Quan Zou*.Exploration of the Correlation between GPCRs and Drugs Based on a Learning toRank Algorithm. Computers in Biology andMedicine. 2020, 119: 103660
  • LiangYu, Yayong Shi, Quan Zou, ShuhangWang, Liping Zheng, Lin Gao. Exploring drug treatment patterns based on theaction of drug and multilayer network model. International Journal of Molecular Sciences. 2020, 21: 5014
  • YifangShi, Lin Gao, Quan Zou, Liang Yu. Prediction of drug-target interactionsbased on multi-layer network representation learning. Neurocomputing.2021, 434: 80-89
  • Xiaoqing Ru, Xiucai Ye*, Tetsuya Sakurai, Quan Zou, Lei Xu, ChenLin*. Current status and future prospects of drug-target interactionprediction. Briefings in FunctionalGenomics. 2021, 20(5):312-322
  • Yuxin Gong, Bo Liao*, Peng Wang, Quan Zou. DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins. Frontiers in Pharmacology. 2021, 12: 771808
  • YuCheng, Yongshun Gong, Yuansheng Liu*, Bosheng Song*, Quan Zou. Molecular design in drug discovery: a comprehensivereview of deep generative models. Briefingsin Bioinformatics. 2021, 22(6):bbab34.
  • Yijie Ding, Jijun Tang,Fei Guo*, Quan Zou*. Identification of drug-target interactions viamultiple kernel-based triple collaborative matrix factorization. Briefingsin Bioinformatics. 2022, 23(2): bbab582 (data and codes)
  • Xiaoqing Ru, Xiucai Ye*,Tetsuya Sakurai, Quan Zou*. NerLTR-DTA: Drug-target binding affinityprediction based on neighbor relationship and learning to rank. Bioinformatics.2022, 38(7): 1964-1971. (codes and datasets)
  • Ran Su, Haitang Yang, Leyi Wei*, Siqi Chen*, Quan Zou*. A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Computational Biology. 2022, 18(9): e1010402. (codes)
  • Yuqing Qian, Yijie Ding*, Quan Zou*, Fei Guo*. Identification ofdrug-side effect association via restricted Boltzmann machines with penalizedterm. Briefings in Bioinformatics. Doi: 10.1093/bib/bbac458

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